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    RAYLEIGH FADING MITIGATION VIA SHORT PULSE COHERENT DISTRIBUTED ACOUSTIC SENSING WITH MULTI-LOCATION BEATING-TERM COMBINATION
    181.
    发明申请
    RAYLEIGH FADING MITIGATION VIA SHORT PULSE COHERENT DISTRIBUTED ACOUSTIC SENSING WITH MULTI-LOCATION BEATING-TERM COMBINATION 审中-公开

    公开(公告)号：US20200370950A1

    公开(公告)日：2020-11-26

    申请号：US16879505

    申请日：2020-05-20

    Applicant: NEC Laboratories America, Inc.

    Inventor： Ezra IP ,  Yue-Kai HUANG ,  Junqiang HU ,  Shuji MURAKAMI

    IPC: G01H9/00 ,  G01B9/02

    Abstract: Aspects of the present disclosure describe Rayleigh fading mitigation via short pulse coherent distributed acoustic sensing with multi-location beating-term combination. In illustrative configurations, systems, methods, and structures according to the present disclosure employ a two stage modulation arrangement providing short interrogator pulses resulting in a greater number of sensing data points and reduced effective sectional length. The increased number of data points are used to mitigate Rayleigh fading via a spatial combining process, multi-location-beating combining (MLBC) which uses weighted complex-valued DAS beating results from neighboring locations and aligns phase signals of each of the locations, before combining them to produce a final DAS phase measurement. Since Rayleigh scattering is a random statistic, the MLBC process allows capture of different statics from neighboring locations with correlated vibration/acoustic signal. The combined DAS results minimize a total Rayleigh fade, in both dynamic fading and static fading scenarios.

    Dense three-dimensional correspondence estimation with multi-level metric learning and hierarchical matching
    185.
    发明授权
    Dense three-dimensional correspondence estimation with multi-level metric learning and hierarchical matching 有权

    公开(公告)号：US10832084B2

    公开(公告)日：2020-11-10

    申请号：US16526306

    申请日：2019-07-30

    Applicant: NEC Laboratories America, Inc.

    Inventor： Quoc-Huy Tran ,  Mohammed E. Fathy Salem ,  Muhammad Zeeshan Zia ,  Paul Vernaza ,  Manmohan Chandraker

    IPC: G06K9/62 ,  G06T17/00 ,  G06T19/00

    Abstract: A method for estimating dense 3D geometric correspondences between two input point clouds by employing a 3D convolutional neural network (CNN) architecture is presented. The method includes, during a training phase, transforming the two input point clouds into truncated distance function voxel grid representations, feeding the truncated distance function voxel grid representations into individual feature extraction layers with tied weights, extracting low-level features from a first feature extraction layer, extracting high-level features from a second feature extraction layer, normalizing the extracted low-level features and high-level features, and applying deep supervision of multiple contrastive losses and multiple hard negative mining modules at the first and second feature extraction layers. The method further includes, during a testing phase, employing the high-level features capturing high-level semantic information to obtain coarse matching locations, and refining the coarse matching locations with the low-level features to capture low-level geometric information for estimating precise matching locations.

    Security monitoring with progressive behavioral query language databases
    186.
    发明授权
    Security monitoring with progressive behavioral query language databases 有权

    公开(公告)号：US10831750B2

    公开(公告)日：2020-11-10

    申请号：US15684325

    申请日：2017-08-23

    Applicant: NEC Laboratories America, Inc.

    Inventor： Xusheng Xiao ,  Zhichun Li ,  Mu Zhang ,  Guofei Jiang ,  Jiaping Gui ,  Ding Li

    IPC: G06F7/00 ,  G06F16/2453 ,  G06F21/62 ,  G06F16/245 ,  G06F21/57 ,  G06F16/22

    Abstract: Automated security systems and methods include a set monitored systems, each having one or more corresponding monitors configured to record system state information. A progressive software behavioral query language (PROBEQL) database is configured to store the system state information from the monitored systems. A query optimizing module is configured to optimize a database query for parallel execution using spatial and temporal information relating to elements in the PROBEQL database. The optimized database query is split into sub-queries with sub-queries being divided spatially according to host and temporally according to time window. A parallel execution module is configured to execute the sub-queries on the PROBEQL database in parallel. A results module is configured to output progressive results of the database query. A security control system is configured to perform a security control action in accordance with the progressive results.

    DISTRIBUTED OPTICAL FIBER SENSING FOR SMART CITY APPLICATIONS
    187.
    发明申请
    DISTRIBUTED OPTICAL FIBER SENSING FOR SMART CITY APPLICATIONS 审中-公开

    公开(公告)号：US20200319018A1

    公开(公告)日：2020-10-08

    申请号：US16839686

    申请日：2020-04-03

    Applicant: NEC Laboratories America, Inc.

    Inventor： Ming-Fang HUANG ,  Ting WANG

    IPC: G01H9/00 ,  G01K11/32 ,  H04W4/70 ,  G06Q50/26

    Abstract: Aspects of the present disclosure describe distributed optical fiber sensing for smart city applications in which distributed optical fiber sensing is integrated with a surveillance system into a single system such that the distributed sensing system may detect an event of interest and the surveillance system including cameras may be reoriented in response to verify and/or examine and/or acquire video of the event. Of particular advantage such distributed fiber sensing may include distributed acoustic sensing (DAS) for vibrational sensing and distributed temperature sensing (DTS) for temperature sensing. The integrated system employs shared optical fiber transport for the distributed sensing and the surveillance.

    Distributed fiber sensing interrogator with detachable end
    188.
    发明授权
    Distributed fiber sensing interrogator with detachable end 有权

    公开(公告)号：US10797789B2

    公开(公告)日：2020-10-06

    申请号：US16454056

    申请日：2019-06-27

    Applicant: NEC Laboratories America, Inc.

    Inventor： Junqiang Hu ,  Ting Wang

    IPC: H04B10/071 ,  G01D5/353 ,  H04B10/25

    Abstract: Aspects of the present disclosure describe systems, methods and structures for distributed fiber sensing systems including interrogator and attached fiber in which the interrogator includes a common line card and function-specific, pluggable front end in which the line card is configurable and supports different signal processing paths and automatically senses the front-end type and uses corresponding firmware/software or signal processing path(s) to process sensed data.

    DISTRIBUTED REAL-TIME SECURITY MONITORING AND ALERTING
    190.
    发明申请
    DISTRIBUTED REAL-TIME SECURITY MONITORING AND ALERTING 审中-公开

    公开(公告)号：US20200294376A1

    公开(公告)日：2020-09-17

    申请号：US16808722

    申请日：2020-03-04

    Applicant: NEC Laboratories America, Inc.

    Inventor： Kunal Rao ,  Giuseppe Coviello ,  Srimat Chakradhar ,  Min Feng

    IPC: G08B13/196

    Abstract: Systems and methods are disclosed for distributed real-time security monitoring and alerting. The methods include transmitting a selected portion of biometrics data as a watchlist to each worker unit. The portion of biometrics data is selected in response to respective characteristic data received from each worker unit. Facial recognition data is received from each worker unit. The facial recognition data includes a person of interest with an associated match confidence value calculated by each worker unit based on respective watchlists received by each worker unit. A combined match confidence value is calculated between a same person of interest identified in multiple facial recognition data received from each worker unit and the biometric data associated with an individual. The combined match confidence value is calculated in response to match confidence values associated with the same person of interest in respective facial recognition data being below a match confidence threshold.

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